System and method for text entry

ABSTRACT

A method of text entry for an electronic device comprising: receiving a sequence of keystrokes performed over a plurality of keys of a keyboard of the electronic device, wherein a single keystroke enters a single letter location in a word, and wherein the set of the keystrokes comprises a first set of keystrokes for single letter entries that select single letter in an alphabet and a second set of keystrokes for letter group entries that selects a group of possible letters from the alphabet for a single letter location; creating list of possible words the user intends to enter based on a priori database of words by searching in the word database words having letters that match the sequence of letter entries; and displaying the list of possible words to a user, receiving the user selection of a desired word and providing the selected word for further processing.

CROSS REFERENCE TO RELATED APPLICATION

This application is a continuation-in-part of application U.S. Ser. No.11/774,578, filed on Jul. 7, 2007, which is hereby incorporated byreference in its entirety.

FIELD AND BACKGROUND OF THE INVENTION

Text entry is one of the vital issues for smart phones as well as forother compact hand held devices.

Many methods have been suggested in recent years. Among the most popularones are methods that reduce the number of keys by grouping severalletters together on a single key and use a prediction or disambiguatingsystem to generate the desired text. Since fewer keys are needed,smaller keypad size or larger key size is obtainable. Less fingermovements are needed hence typing speed is potentially increased.However, if the user desires to write a word that is not in the device'sdictionary database, or if more than one valid word exists for asequence of letter entries, a considerable degradation in typing speedand comfort occurs.

In U.S. Pat. No. 5,818,437 entitled “reduced keyboard disambiguatingcomputer”, Grover, et al., a 3 by 4 numeric keypad is presented whereeach key is associated with 3 or 4 letters. In U.S. Pat. No. 5,847,697entitled “Single-handed keyboard having keys with multiple charactersand character ambiguity resolution logic”, Sugimoto, a half size QWERTYkeyboard, with two letters associated to most of the keys, is presented.Similar arrangements and various types of keys arrangements and textprediction or disambiguation processing exists in prior art.

Ways to present the word list to the user and receiving the userselection of the desired word, including word completion, are availablein prior art too.

None of the prior art combines predictive text entry methods with simplefull keyboard text entry to provide unified text entry system.

SUMMARY OF THE INVENTION

The present invention, in some embodiments thereof, relates to userinterface and, more particularly, but not exclusively, to text entry.

According to an aspect of some embodiments of the present inventionthere is provided a method of text entry for an electronic device,comprising:

(a) receiving a sequence of keystrokes performed over a plurality ofkeys of a keyboard of the electronic device, wherein a single keystrokeenters a single letter location in a word, and wherein the set of thekeystrokes comprises a first set of keystrokes for single letter entriesthat select single letter in an alphabet and a second set of keystrokesfor letter group entries that selects a group of possible letters fromthe alphabet for a single letter location entry;(b) creating list of possible words the user intends to enter based on apriori database of words by searching in the word database words havingletters that match the sequence of letter entries; and(c) displaying the list of possible words to a user, receiving the userselection of a desired word and providing the selected word for furtherprocessing.

According to some embodiments of the invention, some of the plurality ofkeys are configured to be the default resting position of multiplefingers and non directional keystroke on those keys provide group letterentries wherein for each finger to key binding, directional keystroke onthat key and/or keystrokes on adjacent keys are configured to enter thesingle letter entries of the letters that are members in that key lettergroup.

According to some embodiments of the invention, at least one of the keysis multifunction key.

According to some embodiments of the invention, the keystrokes are bothnon directional and directional keystrokes and the group letter entriesare assigned to non directional keystrokes and the single letter entriesare assigned to single letter entries.

According to some embodiments of the invention, directional keystrokeson the key assigned to single letter entries and non-directionalkeystroke is assigned to a letter group entry wherein the members ofthat letter group are the letters assigned to the single letter entriesof that key.

According to some embodiments of the invention, the letter group entrycomprises a probability measure for each letter in the letter group.

According to some embodiments of the invention, the order of the list ofpossible words is affected by the probability measure.

According to some embodiments of the invention, the keyboard comprisesat least one region on a touch surface or touch screen.

The method of claim 8, wherein touching on some positions on the touchscreen are interpreted as single letter entries while touching on otherpositions interpreted as letter group entries.

According to some embodiments of the invention, the letters of theletter group entries are determined by the relationship between theposition of the touch of the finger on the touch screen to the positionsof the single letter entry key areas on the touch screen.

According to some embodiments of the invention, a probability measurefor letter in the letter group entry is determined by the distancebetween the position of the touch of the finger on the touch screen tothe positions of the single letter entry key areas on the touch screen.

According to some embodiments of the invention, the key is a region on atouch screen, the directional keystrokes are swipes on the touch screenand the non-directional keystroke is touch on the touch screen.

According to some embodiments of the invention, a space entry key ispositioned in the center of the keyboard, letter group entries keys arepositioned adjacently to the space key and single letter entries keysare positioned in proximity to the edges of the keyboard.

According to some embodiments of the invention, the keyboard arepresented on the touch screen whenever a finger or an object are swipedacross the touch screen edge, different letter entry are conditionedupon the relative distance and angle of the finger lift up from the edgecrossing position and group letter entries are associated with shorterdistances then letter group entries.

According to some embodiments of the invention, different types of thekeyboards are activated wherein the swipe position is performed overdifferent positions on the touch screen edge.

According to an aspect of some embodiments of the present inventionthere is provided a text entry system for an electronic devicecomprising:

(a) an input subsystem receives a sequence of keystrokes performed overa plurality of keys of a keyboard of the electronic device, wherein asingle keystroke enters a single letter location in a word, and whereinthe set of the keystrokes comprises a first set of keystrokes for singleletter entries that select single letter in an alphabet and a second setof keystrokes for letter group entries that selects a group of possibleletters from the alphabet for a single letter location entry;(b) a text prediction subsystem receives a sequence of the single letterentries and letter group entries, and produces a list of possible wordsthe user intends to enter based on a priori database of words bysearching in the word database words having letters that match thesequence of letter entries; and(c) a word processing subsystem, receives the list of possible words,displaying the list of possible words to a user, receives the userselection of a desired word and provides the selected word for furtherprocessing.

According to some embodiments of the invention, some of the plurality ofkeys are configured to be the default resting position of multiplefingers and non directional keystroke on those keys provide group letterentries wherein for each finger to key binding, directional keystroke onthat key and/or keystrokes on adjacent keys are configured to enter thesingle letter entries of the letters that are members in that key lettergroup.

According to some embodiments of the invention, at least one of the keysis multifunction key.

According to some embodiments of the invention, directional keystrokeson the key assigned to single letter entries and non-directionalkeystroke is assigned to a letter group entry wherein the members ofthat letter group are the letters assigned to the single letter entriesof that key.

According to some embodiments of the invention, the key is a region on atouch screen, the directional keystrokes are swipes on the touch screenand the non-directional keystroke is touch on the touch screen.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention is herein described, by way of example only, withreference to the accompanying drawings, wherein:

FIG. 1 is a simplified block diagram of the implementation of the textentry system, in accordance with a preferred embodiment of theinvention;

FIG. 2 is a conceptual data structure and data flow of a text predictionsubsystem, in accordance with a preferred embodiment of the invention;

FIG. 3 is a front view of a keyboard, in accordance with a preferredembodiment of the present invention;

FIG. 4 is a usage illustration of the keypad arrangement shown in FIG.3, in accordance with a preferred embodiment of the invention;

FIG. 5 is a front view of a QWERTY like multifunctional keypad, inaccordance with a preferred embodiment of the present invention;

FIG. 6 is a front view of multifunctional numeric keypad, in accordancewith a preferred embodiment of the present invention;

FIG. 7 is a front view of a touch screen QWERTY style keyboard andillustrations of touch locations processing, in accordance with apreferred embodiment of the present invention;

FIG. 8 is a front view of multifunctional keypad implemented on a touchscreen smart phone, in accordance with a preferred embodiment of thepresent invention;

FIG. 9 is a front view of touch screen circular keypad, in accordancewith a preferred embodiment of the present invention;

FIG. 10 is a front view of another touch screen circular keypad, inaccordance with a preferred embodiment of the present invention.

FIG. 11 is a front view and alternative keyboard sections of edgesliding triggered keyboard, in accordance with a preferred embodiment ofthe present invention; and

FIG. 12 is a conceptual data structure and data flow of advanced textprediction subsystem that incorporated probabilistic approach to inputletters, in accordance with a preferred embodiment of the presentinvention.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

The present invention, in some embodiments thereof, relates to userinterface and, more particularly, but not exclusively, to text entry.

Before explaining at least one embodiment of the invention in detail, itis to be understood that the invention is not necessarily limited in itsapplication to the details of construction and the arrangement of thecomponents and/or methods set forth in the following description and/orillustrated in the drawings and/or the Examples. The invention iscapable of other embodiments or of being practiced or carried out invarious ways.

There are many types of text entry methods, keyboard based, hand writingrecognition and voice recognition are few examples. This application islimited to text entry methods that are based on a sequence of keystrokesperformed by a user wherein in each keystroke a single successive letterlocation entry in a word is performed.

As used herein, the term “key” means a distinct object or a distinctarea on an input device, e.g., keypad or keyboard. The term “keystroke”means a single gesture on a single key. The gesture can be a pressoperation or a touch operation or a swipe operation or any type ofmovement of the key or movement of the finger or any other object overthe input device surface.

The phrase “successive letter location entry in a word” may be ambiguousand need a precise definition in the context of the invention. Thephrase comprises from two key terms, the term “word” and the term“letter”. Those terms in the context of the current invention will beprecisely defined hereinafter. Words and letters may have differentinterpretation in different languages so the following section gives aprecise definition of those terms in the context of the presentinvention.

The first term in discussion, a “word”, is a common ground in alllanguages. Taking the definition from Wiktionary (www.wiktionary.org),the term “word” hereinafter means a distinct unit of language (sounds inspeech or written letters) with a particular meaning. In speech, a wordis sounded between silence segments. In write or print, a word appearingbetween spaces and/or punctuation marks. The aim of text entry is toprovide to the user a way to enter words to a computer system. Thenumber of distinct words in a language is dynamic and can be anywherebetween few thousands to few hundreds of thousand of words in a richwide spread spoken language, like English. The word representationdepends on the media or domain that transport or store the text. Forexample, in speech domain the word is constructed from a sequence ofphonetic units comprises from vowels and consonants. In handwriting andprinting the word is comprises from a sequence of symbols known also ascharacters or letters. The representation of a word in differentlanguages, both in handwriting and in print, is very diverse fromlanguage to language. In most languages the written or printed symbolsare referred as letters and each letter is related to a phonetic unit.The full set of the letters referred as the alphabet. English alphabetcomprises of twenty-six letters, the letters A to Z. Other languageshave different size of alphabet. Greek alphabet has only twenty-fourletters. Hebrew has only twenty-two letters. Russian alphabet consistsof thirty-three letters and modern Malayalam alphabet has forty-nineletters alphabet with thirteen vowel letters and thirty-six consonantletters. Some languages, such as many oriental languages, combineseveral phonetic to a single written symbol. In the extreme case, eachword has its own distinct symbols. For example, in Japanese there aretwo symbols system the kanji, which is a symbol per word system thathave 1945 symbols and the kana, which is system of pairs of phoneticunits, consonant plus vowel, that have 71 written symbols. To cope withthis variety of languages, text storing and printing, Unicode standardwas formed in 1988. It supports more than 110,000 symbols, charactersand letters covering 100 scripts. Another type of universal effort torepresent all human languages is IPA. IPA is an international phoneticalphabet that creates an alphabetic system of phonetic notation basedprimarily on the Latin alphabet. It is a standard representation of thesounds of oral language. 107 letters represent consonants and vowels, 31diacritics are used to modify these, and 19 additional signs indicatequalities such as length, tone, stress, and intonation.

In languages where the number of symbols or letters is greater or muchgreater then in English, a sequence of Latin letter keys is used toenter a single letter in the language. For example, one way to enterJapanese kana symbols is by a sequence of Latin, i.e., Roman, letters.Such a method is known as Romanization which is very popular way toenter words in far-east languages.

The current invention is not specific to any language or any specificvariant of entering a text in a language but it limited to a text entrymethods that use a letter system to enter words. The invention focusedon the text entry aspects so letters in the context of this applicationare the letter representation in the domain of the input operations.

As used hereinafter, the term “letter” means a member in an alphabetwherein a sequence of letters injectively defines a word in a language.

As used hereinafter, the term “alphabet” means a set of all letters usedin a particular letter representation of a language. The alphabet in thecontext of the invention is the alphabet used by the input subsystem.

As used hereinafter, the term “letter location” or in brief “location”means a place in the letter sequence that defines a word. For example, afour letter word has four locations and the first letter location is thefirst element in the sequence, the second location is the second elementand so on.

As used hereinafter, the term “step” in word entry means a letter entryto single letter location.

It should be understood that in general, as demonstrated above, alanguage might have more then one letter representation system. Forexample, Japanese kana have 71 letters in its native written graphicalphabet but only 26 letters in its Romanization letter system. If weuse IPA representation for Japanese a 157 (=107+31+19) letter alphabetis used. Letter sequence representing a word may be different indifferent representations but in all cases the representation isinjective and only one specific word is map to the specific lettersequence.

In any of the representations, the dictionary, i.e. the database of allwords in a language, comprises of a set of all letter sequencescorresponding to the set of all words in the language.

The invention is limited to text entry systems that enable enteringwords in successive steps. In each step, a single letter location isentered.

As used hereinafter, the term “single letter entry” means entry of aspecific single letter into a single letter location.

As used hereinafter, the term “unambiguous text entry” means a textentry method that comprises a sequence of specific letter entry to enterwords in a language. A sequence of specific letter entries is a one toone map to a specific word hence determines unambiguous the word.

As used hereinafter, the term “ambiguous text entry” or synonymously“predictive text entry” means a text entry method where potentially inat least one letter location entry of a word, instead of a single letterentry, an ambiguous letter entry comprises two or more possible lettersfor a single letter location is entered.

As used hereinafter, the term “letter group entry” means entry of two ormore possible letters into a single letter location.

As used hereinafter, the term “probabilistic letter group entry” meansentry of two or more possible letters into a single letter locationwherein each letter is associated with a probability measure.

An example for the unambiguous text entry method using single letterentries is a standard QWERTY keyboard for English text entry. In thiscase, for each single letter location, a single Latin letter, A-Z, isentered by pressing a key of the letter in the keyboard. Note thatentering Japanese in QWERTY keyboard is also unambiguous text entrymethod using single letter entries. In this case, the letter alphabet ofJapanese, according to the definition used in this application, is stillthe letters A-Z and a sequence of those letters represents a unique wordin Japanese. The fact that a couple or triple of Roman letters constructan intermediate representation of kana letters should not misinterpretthe essence of to this invention since the relevant set of letters isthe set of letters determined by the input subsystem or the set of inputkeystrokes. In similar way, in text entry for many other languages theletter alphabet relevant to this invention is the set of lettersdictated by the set of input keystrokes. The fact that such input setmay be converted injectively to different set during data processing orrepresenting of the converted letter in the screen is an independentimplementation issue and should not be misinterpreted as the term letterin the accordance with the invention.

An example for letter group entry that created ambiguous text entry isT9, a text entry method on a phone numeric keypad. T9 assign the 26Latin letters in groups to 8 keys of a numeric keypad. The letters A, Band C assigned to the #2 key, the letters D, E and F assigned to the #3key, etc. There is no way in T9 text entry system to enter a specificsingle letter in to a single letter location.

Letter group entry creates an ambiguous text entry. For example, if asequence of four group letter entries, with three letters in each groupletter entry, is entered, three to the power of four, i.e., 81 possiblewords or words prefixes might be entered. However, since any letterrepresentation of a language contains substantial redundancy some of thepossible four letter sequences do not map to any valid word in thelanguage. A text prediction subsystem reduces the ambiguity by providinga list of the possible valid words for the specific sequence ofambiguous text entry and a word processing subsystem further select thespecific word from the list typically by receiving the user selection.

Another popular method to enter text on numeric keypad is Multi-tap. InMulti-tap one enter the letter A by pressing the #2 key once, B bypressing #2 key twice and C by pressing the #2 key three times. Allother Latin letters are entered in the same way using keys #3 to #9. Inthe light of the letter definition of the current invention Multi-taphas eight letter input alphabet representation of English. The alphabetis the digits 2 to 9. Since each letter entry in this case is singleletter, i.e., specific digit to a single location in the wordrepresentation it seems it is an unambiguous text entry method. However,this is not fully the case, an ambiguity problem arise from using avariable number of input letters to represent a Roman letter withambiguity in the punctuation. For example the sequence {#2, #2, #2}might represent AAA or AB or BA or C. Without an additional punctuationletter to solve this ambiguity according to our definition the set ofdigits 2-9 are not a valid letter alphabet that represents English sinceit is not injective representation. This ambiguity is solved by addingpunctuation entry. This usually done by setting timeout duration that ifsuccessive letter entry is performed with time difference greater thenthis timeout duration a punctuation entry is automatically inserted. Theadditional punctuation needed to be added to the alphabet in order toconvert this input system to injective mapping system that providesinjective mapping from letter sequence to a word. With the additionalpunctuation letter the set of digits 2-9 and the punctuation is a validalphabet and letter system for English in accordance with thedefinitions set above.

The punctuation ambiguity demonstrated in the example of Multi-tapshould not be misinterpreted as ambiguity raised from group letterentry. For example, group letter ambiguity in Multi-tap entry mightexist if, in addition, the input subsystem provides the user a way toenter letter group entries. For example, lets examine the case where theuser enters the letter group {‘2’,‘3’}, a punctuation letter and theletter group {‘2’,‘3’}. Pressing once on the input letter ‘2’ enters Awhile pressing once on the input letter ‘3’ enter B. The possible wordprefixes are AA, AD, DA or DD. Without a punctuation letter, theambiguity created in such a sequence entry could be the accumulatedambiguity created by both the letter group entry and the punctuationambiguity. In this case, the possible word prefixes are larger (sixinstead of 4) and are AA, B, AD, DA, DD or E.

To summarize this discussion, the term letter means a member in an inputsubsystem alphabet wherein a sequence of letters injectively defines aword in a language. While plurality of letter representations may beavailable for any language, in the context of the application, theletter system that is used is the one that used in the input subsystemor equivalently the letters that are assigned to key presses orkeystrokes. In the interpretation of the application description and theclaims language this letter term interpretation should be used. Forexample, if a text entry method for a language is using a Romanizationtechnique, the letters corresponding to this text entry system are A-Z.If a text entry method for a language is using a presses on a standardnumeric keypad the letters corresponding to this system are the digits0-9. Based on the input device, e.g., the keyboard, variety of differentalphabets may be used for entering a text in a language.

Most text entry methods can be categorized into one of the two followingcategories: (1) a single letter based text entry, where each letterlocation is entered with an explicit letter by a single keystroke; and(2) a letter group (or predictive text) text entry, where the content ofeach letter location is not set explicitly to a specific letter ratherto a group of letters. Optionally, probability measure for each letterin the group is given. A text prediction is used to resolve theambiguity created by the letter group entries and in some cases furtheruser assistant in selection of the specific word is used as well.

Hereinafter, all embodiments and examples in the application are for theEnglish language using the letters A-Z as the alphabet. Although theinvention has been described in conjunction with these specificembodiments thereof, it is evident that those having skill in the artmay make the necessary modifications to implement this invention in anylanguage and any input alphabet chosen to represent the language inaccording to the selection of specific input device. The input alphabetincludes but not limited to natural print letter of the language, theLatin letters, the digits, etc.

The current invention teaches using both single letter entries and groupletter entries together. At first glance such a solution seems to beunnecessary overhead since it needs more keys (or distinct keystrokes)then a single letter text entry method. For example if one takes theEnglish language, in addition to the 26 distinct letter keys we needanother several keys for group letter entries. The additional keys seemto be unnecessary since the user can choose the precise letter in asingle keystroke so why the user should bother entering an ambiguousentry? In a mobile environment where key space are even more restrictiveit looks even more ridiculous since in many cases we already are shortwith keys and use only letter group entries.

Notwithstanding the above we will see hereinafter that there are manyembodiments, both for desktop computing and mobile devices, where suchan arrangement do not posses to much overhead but carry many advantages.

Before explaining at least one embodiment of the invention in detail, itis to be understood that the invention is not limited in its applicationto the details set forth in the following description or exemplified bythe Examples. The invention is capable of other embodiments or of beingpracticed or carried out in various ways. Also, it is to be understoodthat the phraseology and terminology employed herein is for the purposeof description and should not be regarded as limiting.

Examples

Reference is now made to the following examples, which together with theabove descriptions illustrate some embodiments of the invention in a nonlimiting fashion.

Although the invention has been described in conjunction with specificembodiments thereof, it is evident that many alternatives, modificationsand variations will be apparent to those skilled in the art.Accordingly, it is intended to embrace all such alternatives,modifications and variations that fall within the spirit and broad scopeof the appended claims.

For purposes of better understanding some embodiments of the presentinvention, reference is first made to FIG. 1. FIG. 1 illustrates atypical block diagram of a text entry system embodiment in accordancewith the present invention. The text entry system is split into threesubsystems:

(a) an input subsystem 91;

(b) a text prediction subsystem 92; and

(c) a word processing subsystem 93.

Input subsystem 91 receives the user actions input operations, e.g.keystrokes, on the input device. Input subsystem 91 interprets the useroperations, e.g., the sequence of keystrokes, and separates the entriesto three categories: (1) letter entries, (2) other printable symbols orcharacters, and (3) commands or functions. The letter entries arefurther split into single letter entries 94 and letter group entries 95.Both single letter entries and letter group entries are sent to textprediction subsystem 92. The other printable symbols and characters maybe word separation symbols like spaces commas or other punctuationsymbols, digits, math symbols, currency symbols, graphic symbols such asarrows, boxes, etc. or any other symbols used to be printed in a text.The commands or functions may be commands and functions that are notrelated to text entry such as increase or decrease the volume, open andclose applications or commands or functions that are directly related tothe text entry such as select a word from word list, set the text curserlocation, increase or decrease font size, change font type or color etc.

Each time text prediction subsystem 92 gets a new letter entry, eithersingle letter entry 94 or letter group entry 95, it updates a list ofpossible words 96. Word list 96 is based on the sequence of singleletter entries and letter group entries provided starting from the firstletter location entry of the word until the current letter locationentry. After each new letter entry, the updated word list 96 is sent toa word processing subsystem 93. Text prediction subsystems 92 are wellknown in the art and the present innovation may be implemented invariety of ways. FIG. 2 illustrates an exemplary embodiment of textprediction subsystems 92 in accordance with the current invention.Optionally, text prediction subsystem 92 with learning features whichadapt itself to user texting history and preference is used. Such textprediction subsystems optionally update word database 80 with new wordsused by the user as well as adjust the associated probabilities of wordsin accordance to the user texting history. Optionally, text predictionsubsystems provide word list 96 with word length greater then thecurrent letter location entered. This feature is referred as wordcompletion.

Word processing subsystem 93 sends the current typed text, andoptionally, word list 96 to a display. In addition, if the user enters anon-letter entry, such as punctuation, symbol, or a select a word fromword list 96, word processing subsystem 93 sends to text predictionsubsystems 92 a command indicating that the current word entry ended andthe text prediction subsystem should restart itself and be ready forstarting a reception of letter entries of a new word. In addition, wordprocessing subsystem 93 updates the display and sends the resulted textfield for further processing by the application. The present inventioncan be used with variety types of word processing subsystems 93 and withmany ways of displaying and selecting word list 96.

Due to the ability to make both single letter entry and letter groupentry in each location, the user can dynamically control the length ofthe word list and trade between speed of texting and amount of ambiguityto resolve. This capability enhances the usability of word completion.

Reference is now made to FIG. 2. FIG. 2 illustrates a data structure anddata flow diagram of a text prediction subsystem in accordance with thepresent invention. Text prediction subsystem 92 incorporates a worddatabase 80. The word database consists of all the words in thelanguage. There are many potential ways to store the word database. Inthis illustration, word database 80 is stored as a long letter string.To distinguish between words in word database 80 end-of-word flags 81are inserted at the end of each word 82. Each word is build from one ormore letters 83. For the sake of clarity, word database 80 in the figureis fragmented and the illustration contains only nine words. Typicallythe word database 80 contains 10,000 to 100,000 words. Typically eachletter 83 and end-of-word flag 81 stored in a single byte so the totalsize of the database may start from several tens of KB and can be aslarge as 1 MB. Text prediction subsystem 92 receives a sequence ofletters entries from the input subsystem 91. The letter entries areentered to a letter entry stack 70. Letter entry stack 70 contains aletter entry for each letter location entry sent from input subsystem91. In each location, either a single letter entry 94 or letter groupentry 95 may be received. In the illustration, first letter locationentry 71 is group letter entry containing two letters, second letterlocation entry 72 is single letter entry and third letter location entry73 is group letter entry containing three letters. For the sake ofclarity only three letter entries are illustrated in letter entry stack70 but the stack can contains as many letters as needed to enter asingle word.

To perform the text prediction processing efficiently, for each letterlocation, there are two supportive data structures. The first datastructure is a word locator 75. Word locator 75 is an array of pointersto words in word database 80. Each element in the array is pointing to astart of a word. For the sake of illustration clarity, in the figure,only the first and the last pointers are drawn in complete indicatingthe reference from word locator 75 element to a word 82 in word database80. All other elements are illustrated with short arrows to indicatethat they are also referencing to words 82 in database 80.

Each letter location entry step has its own word locator 75 datastructure. Elements of word locator 75 of the first letter locationentry are ordered in the following way. First stored, are pointers towords that the first letter in the alphabet (A in English) is in thefirst letter location, wherein the most frequently used words are firstand the least frequently used words are last. Next, pointers to wordsthat the second letter in the alphabet (B in English) is in the firstletter location, wherein the most frequently used words are first andthe least frequently used words are last. The last segment of elementsin word locator 75 of the first letter location entry contains pointersto words that the last letter in the alphabet (Z in English) is in thefirst letter location, wherein the most frequently used words are firstand the least frequently used words are last.

Word locator 75 of the second letter location entry step is buildsimilarly but the word pointers are ordered differently with respect tothe second letter location. First stored, pointers to words that thefirst letter in the alphabet (A in English) is in the second letterlocation, wherein the most frequently used words are first and the leastfrequently used words are last. Next, pointers to words that the secondletter in the alphabet (B in English) is in the second letter location,wherein the most frequently used words are first and the leastfrequently used words are last. The last segment of elements in wordlocator 75 of the second letter location contains pointers to words thatthe last letter in the alphabet (Z in English) is in the second letterlocation, wherein the most frequently used words are first and the leastfrequently used words are last.

Word locator 75 of the third letter location is ordered similarly and soare word locators 75 for all other letter locations that are not shownin the figure for the sake of clarity.

The second supportive data structure is letter locator 76 datastructure. Letter locator 76 is an array of pointers to word locator 75elements. Letter locator 76 array size is the size of the alphabet (26in English). For the sake of clarity in the figure the first element islabeled with ‘A’ and the last element is labeled with ‘Z’, however thisis only for clarity reasons and the actual letter set depended on theactual letter system that is used. Each element of letter locator 76 inthe array is pointing to the first element in word locator 75 that inturn is pointing to a word with the appropriate letter matching in theappropriate letter location in the word.

To better understand how text prediction subsystem 92 uses this twosupportive data structures 75 and 76 in conjunction with word database80, let us assume for a moment that the first letter location entry wasa single letter entry that selects the first letter in the alphabet,e.g., the letter A. Text prediction subsystem 92 should provide in thiscase all the words that starts with the letter ‘A’. Text predictionsubsystem 92 fetches the letter entry and since it is the first letterin the alphabet it fetches the first element in letter locator 76. Withthe pointer that is stored in letter locator 76, text predictionsubsystem 92 fetches the referenced element in word locator 75. Theelement in word locator 75 is pointing to a word 82 in word database 80.Next, text prediction subsystem 92 fetches the word from word database80 by taking all letters from the first letter pointed by word locator75 element until end-of-word flags 81 occurs. The word is added to theletter location match bucket 77. Letter location match bucket 77 is adata structure filled with all the words that match a letter locationentry. Each letter location, e.g., first letter location, second letterlocation, etc., has its own letter location match bucket 77. Textprediction subsystem 92 continues to fetch elements from word locator75, and in turn fetch the referenced word from word database 80 and addwords to letter location match bucket 77 until it reach the element inword locator 75 that is referenced by the next letter in letter locator76. In this point on time, bucket 77 contains all the words in thelanguage that have in the first letter location of the word the firstletter in the alphabet. Similarly, if a different single letter entry isreceived from input system 91, i.e. any other single letter from thealphabet text prediction subsystem 92 will fetch the proper elementsfrom letter locator 76 and in similar manner fill bucket 77 with thewords that match the selected letter in the first location. If a lettergroup entry is received from the input subsystem 91 then for each letterin the letter group the text prediction subsystem 92 will fill bucket 77with the matching words so bucket 77 will contain all possible words inthe language that match any one of the letters in the group. Forexample, as illustrated in FIG. 2, if the first letter location entrywas group latter containing two letters, e.g., ‘C’ and ‘L’, letterlocation match bucket 77 will contain all words in English with ‘C’ or‘L’ in the first letter location. The words “can”, “car”, “could”,“late”, “like”, “long” are few examples of many words in English thatmatch this first letter location entry.

The processing taken by text prediction subsystem 92 in response toreceiving subsequent letter location entries, e.g., second, third,fourth letter location entries etc., is similar to the first one buteach letter location step use its own word locator 75, letter locator 76and letter location match bucket 77. All steps use the same worddatabase 80.

For example, continuing with the input sequence illustrated in FIG. 2,the second letter entry is single letter entry of the letter ‘A’ so textprediction subsystem 92 will fetch the words and fill bucket 77 (thebucket of the second letter entry) with all the words in word database80 that are referenced by elements in word locator 75 (the word locatorof the second letter location) that are in between the elements pointedby letter locator 76 element ‘A’ and letter locator 76 element ‘B’. Inthis case, bucket 77 will contain words like “back”, “can”, “car”,“day”, “date”, “late”, etc.

Continuing with the example illustrated in FIG. 2, the third letterentry is a letter group entry with three letters in the group.Specifically in the illustration, assuming English language is used, theletters ‘A’, ‘B’ and ‘C’ are selected by the user. Letter location matchbucket 77 of the third letter location entry will contain words like“baby”, “back”, “board”, “boat”, “cab”, “cache”, “fabulous”, “face”,“lack”, “lab”, etc.

Each letter location step processing produces quite large buckets so theactual implementation may not necessary actually copy the words to thebucket but just keep a compact data structure virtually hold the wordsand can be efficiently used in the final processing step of producing aword list to word processing subsystem 93 describe hereinafter.

Text prediction subsystem 92 generates a new word list 96 after eachstep of receiving new letter entry from input subsystem 91. Optionally,since in the first letter locations the list of possible words istypically large, text prediction subsystem 92 start generating word list96 only from the second or the third or any other greater then oneletter location. Optionally, text prediction subsystem 92 generates aword list that is limited to a maximum number of words which is lessthen all possible words that mach the letter entry sequence. Optionally,this list contains the more frequent or more probable words.

Returning to FIG. 2, the last step taken by text prediction subsystem 92is to provide word list 96. This is done by having additional bucket foreach letter entry step, a word list bucket 78. In the first letterlocation entry, text prediction subsystem 92 just copies the words fromletter location match bucket 77. If a limit on the list size exists,only the most frequent words determined by their location in wordlocator 75 are provided. In case of group letter entry, several wordsfrom each letter segment in word locator 75 are taken. For example ifthe maximum list size is ten and group letter with two letters isreceived, five words from the top of the first letter and five wordsfrom the top of the second letter will be selected.

In the second letter location entry step word list 76 must reflect bothlimitation of first letter location entry and second letter locationentry. To find the suitable word list for this case, the set of words inletter location match bucket 77 of the first letter location entry stepand the set of words in letter location match bucket 77 of the secondlocation entry step should be intersected. The words that are in bothsets are added to the word list bucket 78 of the second letter locationentry. The words in this bucket are delivered to the word processingsubsystem 93 as the word list 96 of this step. In the example providedhereinabove the first location entry bucket contains words that have ‘C’and ‘L’ and the second location entry bucket contains words with ‘A’ inthe second letter location so the intersection will contain words like:“cab”, “can”, “car”, “lack”, “lab”, “late”, etc. Those words are in bothsets so they will be added to word list bucket 78.

In the case where a length limit is set to word list 96, theintersecting processing is stopped when reaching the size limit. Theintersection check is done from the most frequent to the least frequentwords. Optionally, the most frequent words selected for the overlapcheck is taken alternately from both buckets.

Word list processing for further letter location entry step is donesimilarly. Each letter location entry as its own word list bucket 78 andthe intersection processing is done between the local letter locationmatch bucket 77 and previous step word list bucket 78 as illustrated inthe figure. In the example provided hereinabove the set of words thestarted with ‘C’ or ‘L’ and are proceeded with the letter ‘A’ are nowintersect with the set of words with the letter ‘A’ or ‘B’ or ‘C’ in thethird letter location. The intersect of previous step word list bucket78 with the current step letter location match bucket 77 will providethe words: “cab”, “cache”, “lab”, “lack” etc. Those words are in bothsets so they will be added to word list bucket 78.

In FIG. 2 the processing is done in the input subsystem letterrepresentation of the language. It will be possible for a person skilledin the art to convert from one letter representation to another letterrepresentation in any stage of the processing. For example, takingJapanese with Romanization input letter entry. The word database 80 maybe stored in kana while the word locator 76 is based on the Latinletters and the pointers are actually doing the conversion between thedifferent letters systems. Alternatively, all processing is done inLatin letters and only in the final stage or in the word processingsubsystem the conversion from Latin letters to kana symbols is done. Yetanother alternative is to convert the Latin letter system to kana ininput subsystem 91 or in the initial processing of letter entry stack70. In all cases the key element in the present invention is that theinput subsystem configured to provide, in the letter system it using,both single letter entry and letter group entry in any letter locationentry step.

In an exemplary embodiment of the invention, word database 80 may becompacted by overlapping storage of words with overlapping strings. Forexample the words “string” and “ring” can be stored together. To reachthe word “string” a pointer to the letter ‘s’ is provided and to reachthe word “ring” a pointer to the letter ‘r’ which is increment of twofrom the pointer to the letter ‘s’ is provided.

In an exemplary embodiment of the invention, improvements in theprobability models that effect choosing the words that will be deliveredin the word list may be provided. One such a model will be providedlater on in this application.

It will be appreciated by persons skilled in the art that the presenttext prediction architecture is not limited to what has beenparticularly shown and described hereinabove rather, the scope of thepresent invention includes many combinations and sub-combinations ofvarious operations and various methods to provide the word list inaccordance with the sequence of letter location entries.

Reference is now made to FIG. 3. Keyboard 100 is a standard QWERTYkeyboard with additional 8 keys 101-108 as illustrated in FIG. 1. Theeight additional keys 101-108 are group letter entry keys. Keys 101-108are not occupying extra space on the keyboard rather take space from thespace key 109. This keyboard arrangement is configured to enhancetouch-typing. The letter group keys 101-108 are configured to enter thesame letters that each of the eight fingers is typing usingtouch-typing. The keyboard is configured to allow faster touch-typing byallowing the fingers to stay at all time on keys 101-108 rather thenmove the finger to adjacent keys. FIG. 4 illustrates the recommendedpositions of the fingers on keys 101-108. The fingers of left hand 110are placed to the left of space key 109 and the fingers of right hand112 are placed to the right of space key 109.

Key 101 is configured to be pressed by the little finger of left hand110. In standard touch-typing this finger is resting on the A key andtyping the letters Q, A and Z. Accordingly, key 101, labeled with QAZsurrounded by a box, is a letter group entry that enter the group of theletters Q, A and Z.

Key 102 is configured to be pressed by the ring finger of left hand 110.In standard touch-typing this finger is resting on the S key and typingthe letters W, S and X. Accordingly, key 102, labeled with WSXsurrounded by a box, is a letter group entry that enter the group of theletters W, S and X.

Similarly, keys 103 and 104 are configured to be pressed by middlefinger and index finger of left hand 110 and the keys group letterassignment is according to the touch-typing letters used by each fingeras illustrated in FIG. 4. Keys 105-108 are configured to be pressed byindex finger, middle finger, ring finger and little finger of right hand112 respectably. Similarly, the letter assignment is with respect to thetouch-typing letters used by the matching finger.

In each letter location entry the user can decide to enter the standardQWERTY single letter entry, preferably with the proper finger inaccordance with touch-typing recommendations, or a group letter entrywith the group letters keys 101-108.

To support typing on keys 101-108, a text prediction subsystem is usedto generate a possible word list from a sequence comprises a mixture ofsingle letter entries and letter group entries. The word processingsubsystem is used to process the word list coming from the textprediction subsystem and select the chosen word as illustrated in FIG.1.

There are many modification and different key assignments that can beapplied for this basic mixture of single letter keys, i.e., entries, andletter group keys in the keyboard. For example, the user may switch thefunctionality of keys A, S, D, F, J, K and L with keys 101-108 to keepthe fingers in the same location of keys in the keyboard. In this case,letter group entry touch-typing is done with fingers on the originalposition of touch-typing in original QWERTY keyboard. In an exemplaryembodiment of the invention, the user may assign different letter groupsto keys 101-108 to provide better letter balance in the letter groups.In specific, key 108 that in accordance with touch-typing assignactually to single letter entry of the letter P may assigned withanother letters. In an exemplary embodiment of the invention, key 105 isassigned to the group letter {YHN}, key 106 is assigned to the groupletter {UJM}, key 107 is assigned to the group letter {IK} and key 108is assigned to the group letter {OLP}

Other layouts with different mixture of keys and different positions ofsingle letter keys and group letter keys may be provided.

Reference is no made to FIG. 5. FIG. 5 illustrates a QWERTY like keypadwherein several keys are multifunctional keys. The illustration in FIG.5 focuses only on letter entry and other keys for digits, punctuations,symbols and other functions are omitted from the figure for clarity, butmay be implemented as well in concrete embodiments. Keypad 120 comprises10 mechanical simple press keys 122. Keys 122 are similar to the topletter row of a QWERTY keyboard that contains 10 letters keys. Pressingthe leftmost key enter Q. Pressing the rightmost key enter P. The secondkey row comprises six keys 124 a-124 f. Keys 124 a-124 f aremultifunction keys. Keys 124 a-124 f provide 16 single letter entriessimilar to the middle and bottom key rows in a standard QWERTY keyboard(9 letters (ASDFGHJKL) from the middle row and seven letters (ZXCVBNM)from the bottom row. In addition keys 124 a-124 f provide six groupletter entries.

Key 124 a and 124 d have four distinct activation operations: (1) simplepress or non directional press, i.e. press in the directionperpendicular to the keypad plane, (2) leftward press, (3) upward pressand (4) downward press.

Key 124 b and 124 e have three distinct activation operations: (1)simple press, (2) upward press and (3) downward press.

Key 124 c and 124 f have four distinct activation operations: (1) simplepress, (2) rightward press, (3) upward press and (4) downward press.

The non-directional press operation of keys 124 a-124 f is used for thegroup letter entries and the directional presses are used for singleletter entries. The letters in the letter group of each key include theletters entered by the directional operation indicated by the letterlabels surrounding keys 124 a-124 f and letters above the key from thetop row keys 122 indicated by a line connecting between keys from keys124 a-124 f to key form keys 122. The following table summarizes theletter entry options for keys 124 a-124 f.

Key Operation Entry type Entry letter(s) 124a Non Directional PressLetter Group Z, A, S, Q, W 124a Downward Press Single Letter Z 124aLeftward Press Single Letter A 124a Upward Press Single Letter S 124bNon Directional Press Letter Group X, D, E, R 124b Downward Press SingleLetter X 124b Upward Press Single Letter D 124c Non Directional PressLetter Group C, V, F, T 124c Downward Press Single Letter C 124cRightward Press Single Letter V 124c Upward Press Single Letter F 124dNon Directional Press Letter Group B, G, H, Y 124d Downward Press SingleLetter B 124d Leftward Press Single Letter G 124d Upward Press SingleLetter H 124e Non Directional Press Letter Group N, J, U, I 124eDownward Press Single Letter N 124e Upward Press Single Letter J 124fNon Directional Press Letter Group M, L, K, O, P 124f Downward PressSingle Letter M 124f Rightward Press Single Letter L 124f Upward PressSingle Letter K

Under the second row of keys 124 a-124 f the space key 129 is provided.Optionally, other keys are provided. For clarity reasons only letterentry keys are illustrated in FIG. 5. The keyboard illustrated in FIG. 5is configured for high throughput touch-typing with six fingers. In thedefault touch-typing position, the ring finger of left hand 110 ispositioned on key 124 a, the middle finger of left hand 110 ispositioned on key 124 b, the index finger of left hand 110 is positionedon key 124 c, the index finger of right hand 112 is positioned on key124 d, the middle finger of right hand 112 is positioned on key 124 eand the ring finger of right hand 112 is positioned on key 124 f. Inthis finger configuration, each finger with directional press or smallmovement combined with non-directional press enters 4 to 5 single letterentries. By pressing on the key the finger is resting on, the fingerenters a letter group comprises all the letters that this finger isconfigured to enter as single letter entry. Such configuration providesvery high typing speed after short practice. The more frequent words inthe language are entered solely using very fast letter group entriesperformed by a press on a key where the finger is already resting on.The less frequent words may be entered using a mixture of single letterentries and letter group entries. On the rare case of very infrequentwords or words that are not in the dictionary, solely single letterentries are used. However, even in this case, the fingers are stillresides on the same keys, if directional press is performed, or makejust a small upward movement combined with a press otherwise.

Reference is now made to FIG. 6. FIG. 6 illustrates a 3×4 keys numerickeypad wherein each key is 5-way multifunctional key. Keypad 130comprises twelve 5-way multifunction keys 132 a-132 l. Each key 132a-132 l has five distinct activation operations: (1) simple or nondirectional press, i.e. press in the direction perpendicular to thekeypad plane, (2) rightward press, (3) leftward press, (4) upward pressand (5) downward press.

The ten digits and the star and pound signs are assigned to keys in thekeypad in the same way as in a standard telephone keypad and are enteredusing the downward press operation. Accordingly, the digits, the starand the pound signs are labeled in the bottom part of keys 132 a and 132l.

The twenty six Roman letters assignment to keys is approximately inaccordance with the North American dialing standard. For example, key132 b, which is assigned with the digit ‘2’ key, is also assigned withthe letters A, B and C. Single letter entry of the letter A is performedby leftward press on key 132 b. Single letter entry of the letter B isperformed by upward press on key 132 b and single letter entry of theletter C is performed by rightward press on key 132 b. Accordingly alabel of the letter A is presented on the left part of key 132 b andlabels of the letter B and C are presented on the top and right parts ofkey 132 b.

In North American dialing standard the keys associated with the digits‘7’ and ‘9’ are assigned with four letters each. However, in the currentembodiment, single letter entry operations for those keys, PQRS andWXYZ, are divided between four keys. Key 132 g assigned with the lettersP and Q and Key 132 j assigned with the letters R and S. Key 132 iassigned with the letters W and X and Key 132 l assigned with theletters Y and Z. single letter entry of P, R, W and Y are performedusing leftward press operation and single letter entry of Q, S, X and Zare performed using rightward press operation. The labels of thoseletters on the keys are located in the left and the right parts of thekeys to reflect the appropriate leftward press or rightward pressoperations.

The non directional press operation in those ten keys that containsRoman letter assignments is reserved for letter group entry. The lettersin each group contains all the single letter entry assigned to the key.To indicate which are the letters that are assigned to the nondirectional press operations, the central part of the key is labeledwith small circle and corresponding arrows from each press direction thekey is assigned letter in the key. For example, Key 132 e is assignedwith the letters J, K and L. The leftward press is assigned to theletter J entry, the upward press is assigned to the letter K entry andthe rightward press is assigned to the letter L entry. Accordingly, thelabel J is printed on the left part of key 132 e, the label K is printedon the top part of key 132 e and the label L is printed on the rightpart of key 132 e. The center of key 132 e is labeled with a circle andarrows from left, up and right indicating that the non directional pressof the key is a letter group entry with the letters {J,K,L} in thegroup.

In the embodiment illustrated in FIG. 6, Keys 132 a and 132 k do notcontains letter entry and the keys are assigned with the symbols comma,dot, colon, space, parenthesis, plus and minus. Other symbols areassigned to the vacant operations in the other keys.

In this embodiment, the user is able to decide in each letter locationentry whether he selects a letter group entry or a single letter entry.A single letter entry is slower then group letter since directionalpress is slightly more complex for the human motor system. The user maytrades between text entry speed and comfort versus the text entryresolution or the amount of ambiguity. Too much ambiguity eventually mayresult additional effort and time in order to select the proper wordfrom the list of possible words.

The following paragraphs present an example of typing text with thekeypad illustrated in FIG. 6.

Assuming the user is typing the following sequence:

-   -   (1) non directional press on key 132 h—{T,U,V};    -   (2) non directional press on key 132 d—{G,H,I};    -   (3) non directional press on key 132 c—{D,E,F}.

The text prediction subsystem process the input sequence as illustratedin FIG. 2 and search for a match of words that the first letter locationis T, U or V, the second letter location is G, H or I and the thirdletter location is D, E or F. After the third letter entry the word listbucket 78 will contain words like ‘the’, ‘theater’, ‘these’, ‘tide’,‘tie’, ‘this’, ‘UHF’, ‘VHF’, ‘video’, ‘vie’, ‘view’, ‘viewer’, etc.Since ‘the’ is the a priori most probable word, it will be at the top ofthe word list and entering a space, using non directional press on key132 k, will automatically insert to the text field the word ‘the’followed by a space.

If the user wants to enter the word ‘view’ without the burden to selectit from the possible words list, knowing that this word is less popularword, the user can enter explicitly the letter ‘v’ in the first letterlocation to narrow down the word list. This is done by entering thefollowing input sequence:

-   -   (1) rightward press on key 132 h—(v),    -   (2) non directional press key 132 d—{G,H,I},    -   (3) non directional press key 132 c—{D,E,F}.        In this case only words that start with the letter ‘v’ are        presented in word list bucket 78. The words ‘video’, ‘vie’,        ‘view’, ‘viewer’ will be the valid words shown on the words        list. Entering a space will automatically select the most        probable word, ‘view’ in this case, and insert to the text field        the word ‘view’ followed by a space.

Reference is now made to FIGS. 6-11. FIGS. 6-11 illustrate text entryinput subsystem embodiment that are using touch screens in accordance tothe current invention. Using a touch screen opens new methods todifferentiate between single letter entries and letter group entries.First of all, the press position of the finger on the touch screen isprovided a higher resolution then a key activation in mechanicalkeyboards and single letters or letter groups entries may bedifferentiate by the fine position of the finger touch. Secondly, otherfeatures such as swipes, gestures and traces on the touch screen as wellas pressure sensing or multi fingers touch may be used.

As used herein, the term “touch screen” means any surface or multiplesurfaces with and without display underneath that collectively create aninput device, e.g., a keyboard, and measure and provide the location ofone or more objects, e.g., finger or stylus, in contact with thesurface.

Reference is now made to FIG. 7. FIG. 7 illustrate a QWERTY keyboardimplemented on a touch screen. For clarity, only keys related to letterentry are presented. Keyboard 140 is a touch screen with four rows ofkeys drawn on it. The top row contains 10 keys 142 with the letters Q,W, E, R, T, Y, U, I, O and P. The second row contains 9 keys 144 withthe letters A, S, D, F, G, H, J, K and L. The third row contains 7 keys146 with the letters Z, X, C, V, B, N and M. The bottom row contains thespace key. The input subsystem is analyzing the touch location of thefinger on the screen and generates single letter or letter group entriesin accordance with the touch locations as explained hereinafter. Frame140 a represent keyboard 140. The keys locations are illustrated onframe 140 a but for clarity the labels are omitted. Five differentfinger touch location markers 150 a-150 e are illustrated on frame 140a. When a finger touches the touch screen in keyboard 140 the inputsubsystem first determined if the touch was on a key area. Markers 150a-150 d illustrate touches that are in keys area. Marker 150 eillustrates a touch that is outside any of the keys in keyboard 140. Incase the touch was on a key area, input subsystem further check if thetouch is inside the single letter entry area 152. Single letter entryarea 152 of each key is located in the center of the key and its sizeand shape (rectangular/circle) is a design parameter that may variedbetween keyboards. Alternatively, those parameters are user defined. Inthe exemplary case where the user makes a touch on location 150 a, thetouch is exactly at the center of the key and inside single letter entryarea 152 of that key, the key of the letter H, hence input subsystemwill transmit a single letter entry of the letter H to the textprediction subsystem. In the exemplary case where the user makes a touchon location 150 b, the touch not at the center of the key but stillinside single letter entry area 152 of that key, hence input subsystemwill transmit a single letter entry, with the letter Z in this case, tothe text prediction subsystem. When the user touches on location 150 c,the touch is still inside the key but not inside the key single letterentry area 152. In this case input subsystem search for keys inproximity to touch location 150 c. The distance of the search isillustrated in the figure by circle 154 centered around touch location150 c. In this example, four keys are in the letter group entry area154, the key where the touch resides on, i.e., the F key, and the keyjust to the right on row 144, i.e. the G key, and two keys from the toprow, keys R and T. The input subsystem, in this case, will transmitletter group entry to text prediction subsystem with the letters F, G, Rand T in the group.

As illustrated in the figure, not all touch on a key outside a singleletter entry area 152 will generate letter group entry. For example,touching on a location illustrated by marker 150 d will have only the Qkey inside letter group entry area 154 hence single letter entry withthe letter Q will be generated.

In the case where a touch is performed outside any key area, asillustrated by marker 150 e, all keys inside letter group entry area 154around the touch area will be provided. In this example, the keys of theletters I, O, J and K are inside letter group entry area 154 henceletter group entry with letters I, O, J and K will be transmitted to thetext prediction subsystem.

If the touch is outside any letter key, and no letter key is insideletter group entry area 154 around the touch point, no letter entry willbe generated.

As can be seen the group letter entry generated by the touch location150 c does not reflect that the user was more likely to enter F then anyother letter. To overcome this limitation a probabilistic version ofletter group entry is introduced.

The probabilistic version of processing in input subsystem isillustrated using the illustration provided in frame 140 b. Frame 140 brepresent keyboard 140. The keys locations are illustrated on frame 140b but for clarity the letters labels are omitted. The same five fingertouch location markers 150 a-150 e are illustrated on frame 140 b aswell. User touch locations 150 a, 150 b and 150 d generate single letterentry according to the same algorithm presented before. However, usertouch locations 150 c and 150 e generate probabilistic version of lettergroup entries as explained hereinafter. In this exemplary case when theuser makes a touch on location 150 c, the input subsystem recognize thatthere are four keys, the keys of the letters F, G, R and T, in theletter group entry area 154. For those four keys the input subsystemcalculates the distance between touch location 150 c and the center ofkeys. Those distances are illustrated in the figure by vectors 156 f,156 g, 156 d and 156 t. Each of the letters in the letter group entry isassociated with a probability. The probability in this case is inverselyrelated to the distance. Keys that are close to the touch location 150 cwill have higher probabilities and keys that are further away will havelower probability. The actual formula to calculate the probability maybe varied. In an exemplary embodiment of the invention, the calculationof the letter probability is given by the following formula:

$P_{i} = {\frac{1}{d_{i}^{2}}/{\sum\limits_{i}\frac{1}{d_{i}^{2}}}}$where d_(i) is the distance of key i and P_(i) is the letterprobability. The factor

$\sum\limits_{i}\frac{1}{d_{i}^{2}}$is a normalization factor to set the sum of all probabilities of lettersin the group to one. As will be explained later, the aim of the letterprobabilities is to order the word list 78 (shown in FIG. 2) anddepending on the actual ordering algorithm in many cases applying thenormalization factor as in the above formula is unnecessary. In the caseof the touch location 150 c with the above probability formulacalculation, the probabilistic letter group entry generated by the inputsubsystem is given in the table below.

Letter F G R T Probability [%] 66.002 14.838 10.955 8.205

In the second exemplary case when the user makes a touch on location 150e, the input subsystem recognize that there are four keys, the keys ofthe letters I, O, J and K, in the letter group entry area 154. The inputsubsystem calculates the distance between touch location 150 e and thecenter of keys I, O, J and K. Those distances are illustrated in thefigure by vectors 156 i, 156 o, 156 j and 156 k. Accordingly, theprobabilistic letter group entry is

Letter I 0 J K Probability [%] 35.97181 17.09611 25.53863 21.39346

As expected, since the touch location 150 e is out of any key and thedistance from touch location 150 e to the keys are in the same order theprobabilities in this case are more even.

In an exemplary embodiment of the invention, the distance is calculatedrelative to key edges rather then key centers.

Reference is now made to FIG. 8. FIG. 8 illustrates a smart phoneequipped with touch screen. The smart phone implements a soft keyboardwith multifunctional keys that use swipes to differentiate single letterkey entries from letter group entries.

Smart phone 10, comprises touch sensitive display 20. On touch sensitivedisplay 20 a keypad area 160 is displayed when text entry is required.The keyboard comprises 5×4 keys array of multifunction keys 162. Eachkey 162 has five distinct activation operations: (1) a touch, (2)rightward swipe, (3) leftward swipe, (4) upward swipe and (5) downwardswipe. Respectively, labels 164 are drawn on the (1) center, (2) right,(3) left, (4) top and (5) bottom to indicate the letter/symbol/functionentry performed by the touch/swipe operations.

Frame 160 a is an enlarge view of keypad area 160 focused only on theletter entry keys. The keyboard is designed in a way that the letterslabels are located according to the well-known QWERTY keyboard layout.Top key row 166 a contains five keys each assigned with two Romanletters and together contains all ten letters in a top row of QWERTYkeyboard. Each single letter entry is either left or right swipeoperation. Touch operation interprets as letter group entry with bothletters in the group. For example, key 164 c is assigned with the singleletter entry T for the left swipe, the single letter entry Y for theright swipe and letter group entry {T,Y} for the touch operation.

To assign the nine letters of standard second row of QWERTY keyboardwith the five keys of second key row 166 b the following assignment isused:

Key Operation Entry type Entry letter(s) Left Right swipe Single LetterA Left Touch Single Letter A 2^(nd) Left swipe Single Letter D 2^(nd)Right swipe Single Letter D 2^(nd) Touch Letter Group S, D 3^(rd) Leftswipe Single Letter F 3^(rd) Up swipe Single Letter G 3^(rd) Right swipeSingle Letter H 3^(rd) Touch Letter Group F, G, H 4^(th) Left swipeSingle Letter J 4^(th) Right swipe Single Letter K 4^(th) Touch LetterGroup J, K Right Left swipe Single Letter L Right Touch Single Letter L

The assignment of the seven letters in a standard third row of QWERTYkeyboard is done only to three of the five keys of third key row 166 c.The following assignment is used:

Key Operation Entry type Entry letter(s) Left Not used for letter entry2^(nd) Left swipe Single Letter Z 2^(nd) Right swipe Single Letter X2^(nd) Touch Letter Group Z, X 3^(rd) Left swipe Single Letter C 3^(rd)Up swipe Single Letter V 3^(rd) Right swipe Single Letter B 3^(rd) TouchLetter Group C, V, B 4^(th) Left swipe Single Letter N 4^(th) Rightswipe Single Letter M 4^(th) Touch Letter Group N, M Right Not used forletter entry

The center key in the bottom row 166 d is used for the space key. Touchoperation as well as swipe left, swipe right and swipe up will enter aspace. Down swipe operations in the middle 3×4 keys of keypad 160 isused for entry of digits and the star and pound signs.

Reference is now made to FIG. 9. FIG. 9 illustrates a soft keyboardimplemented on a touch screen with standard touch keys and a circularlayout.

Keyboard touch sensitive surface 170 is shaped as a disk. Four differentsections are configured in keyboard 170. The first section contains theouter ring keys 172 located in the sector between 0°-258°. The zerodegree position is defined as the zero position in hour/min/sec of aclock. This sector contains keys for single letter entry and comprises26 keys to enter the letters A to Z. The second section is the innercircle contains a single circular key 176 to enter a space.

The third section contains two inner rings of keys 174 located betweenthe space key 176 and the single letter keys 172 and reside in thesector of 0°-258° as well. This sector contains the letter group entrykeys.

The ring closer to keys 172 contains 13 keys that provide each lettergroup entry of two successive letters in English.

The ring closer to the center of the disk contains 8 keys that assignthree or four successive letters in each letter group.

The last sector in the keyboard takes up the rest of keyboard 170 andcontains 3 rows of keys 178. Keys 178 are assigned to other punctuationsand symbols needed for text entry.

This keyboard arrangement, contains only simple touch keys, is a gooddemonstration of one of the main ideas behind the innovation. The spacekey 176 is the most frequently used in the language and is kept in themiddle of keyboard 170. The key arrangement is configured in order forthe user to trade between speed, i.e., finger movement distance and theamount of ambiguity. A small movement from the initial finger position,the space key, selects groups of three letters, hence creates largerambiguity. Larger movement to the second ring selects groups of twoletters which is less ambiguous. The most “costly”, i.e., the largestfinger movement and slowest but none ambiguous entry, is to enter singleletter entry by selecting keys 172 in the outer ring.

Reference is now made to FIG. 10. FIG. 10 is keyboard embodiment similarto the one shown in FIG. 9, but is taking the advantage of the accurateread of the finger touch position that can be measured in touch screens.Keyboard 170 a keys 172, 176 and 178 are the same as in previousembodiment, keyboard 170. The section of letter group entry that inprevious embodiment was split into 21 keys 174 is in this embodiment, asingle area 174 a that does not contain any distinguishable keys.Touching area 174 a still activate letter group entry, but the actualletters in the group are selected according to the exact position of thetouch on the area 174 a.

Similar to the embodiment described in the FIG. 7, this embodiment usesthe concept of having a letter group entry with a probability associatedwith each letter in the group. The probability associated with eachletter is based on the position of the touch of the finger on area 174 ain polar coordinates. The radius r coordinate determines the letterentry resolution (larger r=>better resolution) and the angle θdetermines the most probable letter.

One possible way to encode touch position in area 174 a to aprobabilistic letter group is the following:

-   -   (1) Setting outer radius of keyboard 170 a to 1, space key 176        radius to 0.4, keys 172 inner radius to 0.8 and for any letter,        l, between l=1 (letter A) to l=26 (letter Z), the key center        angle is Θ(l)=(10l−5)/2π [rad], and denote touch location by        (r,θ).    -   (2) For each letter index l, calculate        P*(l)=exp(−(θ−Θ(l))²/(1−r)²).    -   (3) For each l that P*(l)>threshold (=0.1) enter the letter to        the letter group. The probability associated with this letter        equals to P(l)=P*(l)/Σ_(k∈l)·P*(k).

Using the above calculation, touch point closer to the space key willhave more letters in the letter group.

Fox example, the outcome of the above probability calculations are givenfor four different touch location on area 174 a:

(1) (r,θ)=(0.8, 10 deg.)=>{(A,0.5), (B,0.5)}

(2) (r,θ)=(0.6, 25 deg.)=>{(B,0.24), (C,0.52), (D,0.24)}

(3) (r,θ)=(0.6, 37 deg.)=>{(B,0.18), (D,0.5), (D,0.32)}

(4) (r,θ)=(0.4, 70 deg.)=>{(E,0.04), (F,0.15), (G,0.31), (H,0.31),(I,0.15)(J,0.04)}

Wherein in each letter group the number following the letter indicatethe letter probability. Note that in the first example θ is just in themiddle between the letter A and B hence the probability of the letter Aand the probability of the letter B are the same but in the case of thesecond example θ is just in the middle of the letter C hence theprobability of the letter C is maximal. Also note that when r=0.8 only 2letters are in the letter group while decreasing r to r=0.6 increase theletter group size to 3 letters and further decrease of r to r=0.4increase the letter group size to 6 letters.

Reference is now made to FIG. 11. FIG. 11 is keyboard embodiment forsmart phones and tablets. Some of the keyboard implementation conceptsare based on the embodiment illustrated in FIG. 10.

Electronic device 10, e.g., smart phone or tablet, comprises touchscreen 20. Electronic device 10 may be held using both left hand 110 andright hand 112 and operated using the thumbs, or held by one hand andoperated by other hand 212, preferably with the index finger. Otheroperation configurations are possible as well. Keyboard sections 200 aredrawn when a finger is sliding from the edge of touch screen 20 inwards.Keyboard section 200 may be in different shapes. In an exemplaryembodiment of the invention, a shape of half a cycle or a fan is used asillustrated in the Figure. Keyboard section 200 position on the screenis relative to an anchor 202 that is set to the point where the fingercrossed touch screen 20 edge.

Different types of keyboard section 200 may be drawn depending on theactual location of anchor 202 on touch screen 20 edge. For example,different keyboard section 200 may be opened on different touch screenedges (right, left, top bottom). Different type keyboard section 200 maybe opened on the same edge as well, for example one keyboard section forthe upper part of the left edge and another different keyboard sectionfor the lower part of the left edge. In an exemplary embodiment of theinvention, the same keyboard section is opened in different edges. Whenthe same keyboard section is opened in different edges, a proper90°/180°/270° degree rotation is applied to the keyboard section draw. Aninety degrees corner version keyboard section might be opened if anchor202 is in proximity to touch screen 20 corners.

If touch screen 20 supports multi-touch detection, several keyboardsections 200 may be operated simultaneously. In case of two thumboperation this means that starting text entry with one thumb may startbefore the text entry operation with the other thumb is completed.

The actual action taken by the input subsystem depend on the type ofkeyboard section 200 and gesture 204 that the finger make on touchscreen 20 from anchor 202 point until the finger lift up 206. In thefollowing keyboard sections examples the letter entry and action isbased only on finger lift up 206 location. However, many variationsand/or combinations may be implemented Action based on other gestureproperties such as opening additional popup keyboards based on keepingthe finger touching a specific location for long time, using othergesture information like the direction of movement before finger liftup, etc.

Keyboard sections 220 and 230 are an exemplary of keyboard section 200configured to use with both thumbs. Keyboard section 220 is opened whenanchor 202 is on the left edge of touch screen 20. A short swipefollowed by finger lift up on the area of key 226 enters a space. Longerswipe that reach into area 222 followed by a finger lift-up entersprobabilistic letter group entry. The letter probability is calculatedin similar fashion as explained in the embodiment illustrated in FIG.10. If the swipe is even longer and reaches single letter entry ring224, upon finger lift-up a single letter entry is generated. Theselected letter is based on the specific key area that lift-up occurredin.

Keyboard section 230 is opened when anchor 202 is created on the rightedge of device 10. A short swipe and finger lift up on the area of key236 opens a pop up keyboard that configured to enter all additionalpunctuations, symbols and functions that are generally available in akeyboard. Longer swipe that enter into area 232 enters probabilisticletter group entry with similar processing done in area 222. Even longerswipe that reaches single letter entry ring 234 generates single letterentry.

The 26 roman letters are split between keyboard sections 220 and 230 ina way that the 13 letters in left side of a QWERTY keyboard are assignedto keyboard sections 220 and the 13 letters in right side are assignedto keyboard sections 230. To enter specific letter the thumb need tomove longer and in general shorter movements induce faster entry butwith higher ambiguity.

Keyboard sections 240 and 250 are another exemplary of keyboard section200 configured to use with both thumbs. Keyboard section 240 is openedwhen anchor 202 is on the left edge of touch screen 20 and keyboardsection 250 is opened when anchor 202 is created on the right edge oftouch screen 20.

A short swipe followed by finger lift up on the area of key 248 enters aspace. Outer ring 242 contains 13 keys, 8 of them are single letterentry keys (the letters QWZXREVF) and 5 are digit (12345) keys Innerring 244 contains 8 keys, 4 of them are single letter entry keys (theletters ASDC) and 4 are punctuation keys (the symbols ‘(’, ‘;’, ‘:’,‘-’) Inner ring 246 contains 7 keys, 4 of them are letter group entrykeys. Another one is a single letter entry key for the letter T and twokeys are for period ‘.’ and comma ‘,’ entries.

The group letter keys are configured to have the letters entered in thesame angular sector as the letters in the letter group. Fox example thekey in ring 244 that is in the same angular sector with keys of theletters Q, W and A is assigned to group letter entry {Q,W,A} and the keyin ring 244 that is in the same angular sector with keys of the lettersZ, X and S is assigned to group letter entry {Z,X,S}

A short swipe followed by finger lift up on the area of key 258interprets as activating an enter key. Outer ring 252 contains 13 keys,8 of them are single letter entry keys (the letters POKNIUHG) and 5 aredigit (67890) keys Inner ring 244 contains 8 keys, 4 of them are singleletter entry keys (the letters LMJB), 3 are punctuation keys (thesymbols ‘)’, ‘/’, ‘=’) and the left most key in the ring 254 is a keythat opens a pop up keyboard that configured to enter all additionalpunctuations, symbols and functions that are generally available in akeyboard Inner ring 256 contains 7 keys, 4 of them are letter groupentry keys, one is single letter entry key for the letter Y and two keysare for question mark ‘?’ and exclamation mark ‘!’ entries.

The group letter keys are configured to have the letters entered in thesame angular sector as the letters in the letter group. Fox example thekey in ring 254 that is in the same angular sector with keys of theletters O, P and L is assigned to group letter entry {O,P,L} and the keyin ring 254 that is in the same angular sector with keys of the lettersN, K and M is assigned to group letter entry {N,K,M}

Keyboard section 260 is yet another exemplary of keyboard section 200configured to use with the finger index. Keyboard section 260 is openedwhen anchor 202 is on the bottom edge of touch screen 20. Alternatively,keyboard section 260 is opened in all anchor 202 locations with a properrotation. If keyboard section 260 anchor 202 is in the right edge 90°degrees rotation is applied. If keyboard section 260 anchor 202 is inthe top edge, 180° degrees rotation is applied and if keyboard section260 anchor 202 is in the left edge 270° degrees rotation is applied.

The outer ring 262 contains single letter entries for the 26 Romanletters arranged in alphabetical order. If the finger lift up is not inthe center of the letter location a group letter entry of the twoadjacent letters is provided by the input subsystem Inner ring 264provides probabilistic group letter entry in a fashion similar to theone described for area 174 a in FIG. 10. Inner ring 264 contains keysfor entering question mark ‘?’, comma ‘,’, period ‘.’, exclamation mark‘!’ and a key for opening an alternative keyboard. The center key 168 isused for space entry.

As stated previously, the methods to differentiate between singleletters and letter group entries on touch screen are varied. Theexamples teach fine position of finger touch or lift up and swipedirection as a way to differentiate. It is evident that those havingskill in the art may use other features like more properties of agesture or trace on the touch screen, pressure sensing, multi fingerstouches, etc.

Reference is now made to FIG. 12. FIG. 12 illustrates an exemplaryimplementation of the modification or upgrades need to be taken in orderto process probabilistic letter group entry in text prediction subsystem92.

Text prediction subsystem 92 receives a sequence of letters entries toletter entry stack 70. As in FIG. 2, letter entry stack 70 contains aletter entry for each letter location entry sent from input subsystem91. The letter group entries in this illustration are probabilistic andfor each letter in the group a letter probability field is attached. Inthe illustration, first letter location entry 71 p is group letter entrycontaining two letters each accompanied by a letter probability. Secondletter location entry 72 is single letter entry and third letterlocation entry 73 p is group letter entry containing three letters eachaccompanied by a letter probability.

Data structure 76 p is used to efficiently search words database 80 pthat contains the letter entry in a specific letter location in theword. In specific, data structure 76 p can be configured in the same wayas data structures 75 and 76 in FIG. 2.

Word database 80 p that consists of all the words in the language isstill stored as a long letter string with end-of-word flags 81 insertedat the end of each word 82. Each word is build from one or more letters83. An additional field, word frequency field 84 p, contains informationon the a priori frequency of the use of the word in the language. In anexemplary embodiment of the invention, word frequency field 84 p isupdated dynamically based on monitoring the post priori usage of wordsby the user.

Similar to the way described in the embodiment illustrated in FIG. 2letter location match bucket 77 is a data structure filled with all thewords that match a letter location entry. Each letter location, e.g.,first letter location, second letter location, etc., has its own letterlocation match bucket 77. Word list buckets 78 p contains a word listthat match the accumulated selection done by the letter entry sequenceand the processing associated with those buckets is also similar to theone described in the embodiment of FIG. 2. Note that bucket 78 in thenon probabilistic case was ordered by the a priori frequency of thewords in the language and a maximum length of list optionally wasapplied. In the probabilistic group letter case, bucket 78 p may stillbe ordered but the final order provided to word processing subsystem 93is dictated by a new processing step or new level of buckets 79 p. Sincebuckets 79 p rearrange the order of the list as will be explainedhereinafter the size of bucket 78 p should be larger, and optionallycontain the full possible word list, to compensate reordered done bybuckets 79 p.

Buckets 79 p contains for each letter entry step an ordered word listwherein the order is taking in consideration not just the a priorifrequency of the word but also the probability of the entry of eachletter that is provided by the input subsystem. For example, if we referback to the example given in FIG. 2, and the first letter entry is theletter group of ‘C’ or ‘L’ and the second letter entry is single letterentry of the letter ‘A’, the word list contains the word “can” higher inthe list then the word “late”. However, if the input subsystem providesa probabilistic group letter entry wherein the probability of the letter‘A’ is 90% and the probability of the letter ‘L’ is only 10% we mightwant to have the word “late” higher in the list then the word “can”.

Lets denote a word in bucket 78 p in the letter location l with W_(i)^(l), the word frequency of that word that is taken from field 84 c ofthat word with P_(i) ^(l) and the letter probabilities provided by theinput subsystem for the first l letters in W_(i) ^(l) as p_(l) ^(i). Wecan rank each word in bucket 78 p with the following rank

${R\left( W_{i}^{l} \right)} = {\left( P_{i}^{l} \right)^{c_{1}} \cdot {\prod\limits_{1}^{l}\left( P_{i}^{l} \right)^{c_{2}}}}$c₁ and c₂ are weighting coefficient that trade between more weight tothe word frequency in database and more weight to the letterprobability. Other ways to calculate the final rank for the word may beapplied. The order of the word list in bucket 79 p is based on the wordsrank from higher to lower. In the case where a length limit is set toword list 96 only the top ranked words will be picked up to the lengthlimit.

It will be appreciated by persons skilled in the art that the presentedtext prediction data structure and data flow was presented for teachingthe invention but it is not limited to what has been particularly shownand described hereinabove rather, the scope of the present inventionincludes many other data structures and processing methods as well ascombinations and sub-combinations of various operations and variousmethods to provide the word list in accordance with the sequence of theprobabilistic version of letter location entries and many more efficientways in memory size and processing time can be provided.

While this specification contains many specific implementation details,these should not be construed as limitations on the scope of anyinventions or of what may be claimed, but rather as descriptions offeatures specific to particular implementations of particularinventions. Certain features described in this specification in thecontext of separate implementations may also be implemented incombination in a single implementation. Conversely, various featuresdescribed in the context of a single implementation may also beimplemented in multiple implementations separately or in any suitablesubcombination. Moreover, although features may be described above asacting in certain combinations and even initially claimed as such, oneor more features from a claimed combination may in some cases be excisedfrom the combination, and the claimed combination may be directed to asubcombination or variation of a subcombination.

Similarly, while operations are depicted in the drawings in a particularorder, this should not be understood as requiring that such operationsbe performed in the particular order shown or in sequential order, orthat all illustrated operations be performed, to achieve desirableresults. In certain circumstances, multitasking and parallel processingmay be advantageous. Moreover, the separation of various systemcomponents in the implementations described above should not beunderstood as requiring such separation in all implementations.

Thus, particular implementations of the invention have been described.Other implementations are within the scope of the following claims. Insome cases, the actions recited in the claims may be performed in adifferent order and still achieve desirable results. In addition, theprocesses depicted in the accompanying figures do not necessarilyrequire the particular order shown, or sequential order, to achievedesirable results. In certain implementations, multitasking and parallelprocessing may be advantageous.

The use of data structure and data flow diagrams is not meant to belimiting with respect to the order of operations performed. The hereindescribed subject matter sometimes illustrates different componentscontained within, or connected with, different other components. It isto be understood that such depicted architectures are merelyillustrative, and that in fact many other architectures may beimplemented which achieve the same functionality. In a conceptual sense,any arrangement of components to achieve the same functionality iseffectively “associated” such that the desired functionality isachieved. Hence, any two components herein combined to achieve aparticular functionality may be seen as “associated with” each othersuch that the desired functionality is achieved, irrespective ofarchitectures or intermedial components. Likewise, any two components soassociated may also be viewed as being “operably connected”, or“operably coupled”, to each other to achieve the desired functionality,and any two components capable of being so associated may also be viewedas being “operably couplable”, to each other to achieve the desiredfunctionality.

With respect to the use of substantially any plural and/or singularterms herein, those having skill in the art may translate from theplural to the singular and/or from the singular to the plural as isappropriate to the context and/or application. The varioussingular/plural permutations may be expressly set forth herein for sakeof clarity.

It will be understood by those within the art that, in general, termsused herein, and especially in the appended claims (e.g., bodies of theappended claims) are generally intended as “open” terms (e.g., the term“including” should be interpreted as “including but not limited to,” theterm “having” should be interpreted as “having at least,” the term“includes” should be interpreted as “includes but is not limited to,”etc.). It will be further understood by those within the art that if aspecific number of an introduced claim recitation is intended, such anintent will be explicitly recited in the claim, and in the absence ofsuch recitation no such intent is present. For example, as an aid tounderstanding, the following appended claims may contain usage of theintroductory phrases “at least one” and “one or more” to introduce claimrecitations. However, the use of such phrases should not be construed toimply that the introduction of a claim recitation by the indefinitearticles “a” or “an” limits any particular claim containing suchintroduced claim recitation to inventions containing only one suchrecitation, even when the same claim includes the introductory phrases“one or more” or “at least one” and indefinite articles such as “a” or“an” (e.g., “a” and/or “an” should typically be interpreted to mean “atleast one” or “one or more”); the same holds true for the use ofdefinite articles used to introduce claim recitations. In addition, evenif a specific number of an introduced claim recitation is explicitlyrecited, those skilled in the art will recognize that such recitationshould typically be interpreted to mean at least the recited number(e.g., the bare recitation of “two recitations,” without othermodifiers, typically means at least two recitations, or two or morerecitations). Furthermore, in those instances where a conventionanalogous to “at least one of A, B, and C, etc.” is used, in generalsuch a construction is intended in the sense one having skill in the artwould understand the convention (e.g., “a system having at least one ofA, B, and C” would include but not be limited to systems that have Aalone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). In those instances where aconvention analogous to “at least one of A, B, or C, etc.” is used, ingeneral such a construction is intended in the sense one having skill inthe art would understand the convention (e.g., “a system having at leastone of A, B, or C” would include but not be limited to systems that haveA alone, B alone, C alone, A and B together, A and C together, B and Ctogether, and/or A, B, and C together, etc.). It will be furtherunderstood by those within the art that virtually any disjunctive wordand/or phrase presenting two or more alternative terms, whether in thedescription, claims, or drawings, should be understood to contemplatethe possibilities of including one of the terms, either of the terms, orboth terms. For example, the phrase “A or B” will be understood toinclude the possibilities of “A” or “B” or “A and B.”

It is expected that during the life of a patent maturing from thisapplication many relevant technologies will be developed and the scopeof the terms used is intended to include all such new technologies apriori.

The foregoing description of illustrative embodiments has been presentedfor purposes of illustration and of description. It is not intended tobe exhaustive or limiting with respect to the precise form disclosed,and modifications and variations are possible in light of the aboveteachings or may be acquired from practice of the disclosed embodiments.It is intended that the scope of the invention be defined by the claimsappended hereto and their equivalents.

What is claimed is:
 1. A method of text entry for an electronic device,the method comprising: (a) generating a sequence of letter entries froma sequence of keystrokes, wherein for any word a user want to input, asingle keystrokes generates a letter entry for a single letter locationof the word, and wherein the keystrokes performed over a keyboard with aplurality of keys partitioned into multiple regions, at least one regioncomprising one or more adjacent keys which are activated by a firstkeystroke and a plurality of second keystrokes, said first keystroke isconfigured to output a letter group entry which generates a group ofpossible letters at a letter location of the word and each keystrokefrom said plurality of second keystrokes is configured to output asingle letter entry which generates a single letter to a letter locationof a word, and said group of possible letters generated by said firstkeystroke only comprises letters generated by all said secondkeystrokes; (b) creating a list of possible words, each possible word isa word that is created from a combination of possible letters at eachstep of said sequence of letter entries that matches with a word in apriori database of words; (c) displaying said list of possible words tothe user; and (d) receiving from the user a selected word in said listof possible words and providing the selected word for furtherprocessing.
 2. The method of claim 1, wherein the keystrokes in saidgroup of keystrokes are configured to be performed by the user using thesame finger.
 3. The method of claim 1, wherein said first keystroke is apress on a first key.
 4. The method of claim 3, wherein said secondkeystrokes are tilts on said first key or presses on keys adjacent tosaid first key.
 5. The method of claim 1, wherein said group ofkeystrokes are performed on a single key and wherein the first keystrokeis a non-directional keystroke on this single key and the secondkeystrokes are directional keystrokes on this single key.
 6. The methodof claim 1, wherein said letter group entry comprises a probabilitymeasure for each letter in the letter group.
 7. The method of claim 6,wherein the order of said list of possible words is affected by saidprobability measure.
 8. The method of claim 1, wherein said keyboardcomprises at least one key which is defined by a region on a touchsurface or a touch screen.
 9. The method of claim 8, wherein said firstkeystroke is a touch on a first key and said second keystrokes aretouches on second keys.
 10. The method of claim 9, wherein second keysare adjacent to first key.
 11. The method of claim 10, wherein saidletter group entry comprises a probability measure for each letter inthe letter group, and wherein the probability measures are determined bythe distance between the position of touch on the first key to each oneof the second keys.
 12. The method of claim 8, wherein said firstkeystroke is a touch on a first key and said second keystrokes areswipes to different directions wherein the swipes starts on the firstkey.
 13. The method of claim 9, wherein said keyboard has a circleshape, and wherein a space entry key is located in the center of thecircle, the first key is located in an inner ring of the circle and thesecond keys are in an outer ring of the circle.
 14. The method of claim1, wherein said keyboard is presented on a touch screen whenever afinger or an object are swiped across the touch screen edge, said keysare regions over the touch screen and the keys activation is performedby a keystroke which is a swipe that starts at the edge of the touchscreen and ends inside the key region, and first keystroke is performedby using a shorter swipe and second keystrokes are performed by usinglonger swipes.
 15. The method of claim 14, wherein different types ofsaid keyboards are activated conditioned upon at least the side of saidtouch screen edge that the keystroke was initiated on.
 16. A text entrysystem for an electronic device comprising: (a) an input subsystemgenerating a sequence of letter entries from a sequence of keystrokes,wherein for any word a user want to input, a single keystrokes generatesa letter entry for a single letter location of the word, the inputsubsystem comprising a keyboard with a plurality of keys partitionedinto multiple regions, at least one region comprising one or moreadjacent keys which are activated by a first keystroke and a pluralityof second keystrokes, wherein said first keystroke is configured tooutput a letter group entry which generates a group of possible lettersat a letter location of a word and said second keystrokes are configuredto output a single letter entry which generates a single letter to aletter location of a word, said group of possible letters generated bysaid first keystroke only comprises letters generated by all said secondkeystrokes; (b) a text prediction subsystem receiving from the inputsubsystem the sequence of letter entries and creating a list of possiblewords, each possible word is a word that is created from a combinationof possible letters at each step of said sequence of letter entries thatmatches with a word in a priori database of words; and (c) a wordprocessing subsystem receiving said list of possible words, displayingsaid list of possible words to the user, receiving from the user aselected word from said list of possible words and providing theselected word for further processing.
 17. The text entry system of claim16, wherein some of said plurality of keys are configured to be thedefault resting position of multiple fingers and the first keystrokes ofsaid keystrokes groups are presses on these keys.
 18. The text entrysystem of claim 16, wherein said first keystroke is a press on a firstkey and said second keystrokes are tilts on the first key or presses onkeys adjacent to the first key.
 19. The text entry system of claim 16,wherein said first keystroke is a press on a first key and said secondkeystrokes are tilts on the first key.
 20. The text entry system ofclaim 16, wherein said keyboard comprises a touch surface or a touchscreen, said keys are regions on the touch surface or the touch screenand said keystrokes are touches or swipes over the touch surface or thetouch screen.
 21. A method of text entry for an electronic device, themethod comprising: (a) generating a sequence of letter entries from asequence of keystrokes, wherein for any word a user want to input, asingle keystrokes generates a letter entry for a single letter locationof the word, and wherein the keystrokes performed over a keyboard with aplurality of keys partitioned into multiple regions, at least one regioncomprising a first key and a plurality of second keys adjacent to eachother, a keystroke on said first key is configured to output a lettergroup entry which generates a group of possible letters at a letterlocation of a word and each keystroke from said plurality of second keysis configured to output a single letter entry which generates a singleletter to a letter location of a word, said group of possible lettersgenerated by said first keystroke only comprising letters generated bykeystrokes on all said plurality of second keys; (b) creating a list ofpossible words, each possible word is a word that is created from acombination of possible letters at each step of said sequence of letterentries that matches with a word in a priori database of words; (c)displaying said list of possible words to the user; and (d) receivingfrom the user a selected word from said list of possible words andproviding the selected word for further processing.
 22. The method ofclaim 21, wherein keys in said group of keys are configured to beactivated by the user using the same finger.
 23. The method of claim 22,wherein the default resting position of the fingers of the user are saidfirst keys.